import cv2
import numpy as np

image = "source.png"

kernel = np.ones((5,5),np.uint8)
kernel21 = cv2.getGaussianKernel(3, 0.8)
kernel22 = cv2.getGaussianKernel(5, 1.1)
kernel23 = cv2.getGaussianKernel(7, 1.4)

img = cv2.imread(image,0)
#binary
ret,binary = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
#closing
closing = cv2.morphologyEx(binary, cv2.MORPH_OPEN, kernel)
#dilate
dilate = cv2.dilate(closing,kernel21,iterations = 1)
dilate2 = cv2.dilate(closing,kernel22,iterations = 1)
dilate3 = cv2.dilate(closing,kernel23,iterations = 1)

x = [binary, closing, dilate, dilate2, dilate3]
y = ["binary", "closing", "dilate-kernel21", "dilate-kernel22", "dilate-kernel23"]

for i in range(5):
    cv2.imwrite("{0}-{1}.png".format(i, y[i]), x[i])